Enterprise Resource Planning (ERP) is an information system that is used to integrate all information in every business process in a company by using a shared database. Proper integration of each division can improve good communication, regular workflow, and company success. This study aims to analyze the implementation of ERP in a trading and service company. Before implementing ERP, each division, namely the warehouse division and the finance division, used a separate application. As a result, there is a difference in inventory calculation between warehouse records and finance. The study was conducted by distributing questionnaires to employees who deal directly with the ERP system in the company under study. The results of the questionnaire show that the relationship of user training and data analysis has an influence on the success of ERP implementation. After the ERP system is implemented, there are no more data miscut incidents due to work processes, spare part administration, checking of the purchase status and spare part expenditure processes in the warehouse division to be more accountable because all users use the same database for all divisions, namely the warehouse, finance, and commercial divisions. The control system of every activity in and out of goods and also better monitored, especially the spare parts that are warranty because the warehouse division has received enough information from each use of spare parts.
The aim of research is to design the model of rendement rate by considering the criteria of patchouli leaf and designing a good supplier selection model to maximize the company profit by considering the acceptance of the patchouli oil rendement rate. The selection of suppliersdiscussed is to consider the quantity of goods offered by suppliers, demand, budget and acceptance limitation of rendement rate. To overcome these limitations, it is necessary to develop a supplier selection model that takes into consideration the quantity limitation of goods offered by the supplier and the acceptance of the rendement rate by using Linear Programming (LP) method. The result of the research shows that the determination model of the rendement rate developed to determine the percentage of Rendement Rate (RR) of each raw material supplied by the supplier so that the company can know the quality of patchouli leaf based on the type of patchouli leaf. The analysis result of numerical sample calculation shows that the selected supplier is not a supplier with good patchouli leaf criteria, the analysis result of parameter changes in oil demand and budget indicate that when oil demand is increased over the benchmark data, the model output isinsensitive, but when demand is lowered below the benchmark data, the model output looks sensitive.
CV. Estu Mukti adalah perusahaan yang mempunyai bahan baku karet yang memproduksi sparepart seal dash yang berada di mobil truck. Yang mempunyai permasalahan melakukan pemesanan secara terus menerus tanpa memperkirakan kebutuhan. Tujuan penelitian ini untuk mengetahui jumlah pengadaan persediaan yang ekonomis dalam usaha memenuhi pengadaan persediaan bahan baku sehingga dapat menunjang kegiatan operasional perusahaan secara terus menerus. Data yang dibutuhkan dalam penelitian ini maka digunakan teknik – teknik pengambilan data melalui pengamatan langsung terhadap obyek yang diteliti, wawancara dan studi pustaka.: EOQ, frekuensi pemesanan, biaya pemesanan, biaya penyimpanan dan total biaya persediaan. Hasil penelitian ini membandingkan antara metode perusahaan dan metode EOQ perusahaan harus melakukan permintaan yang optimal yaitu bahan baku karet sejumlah 1.139 Kg dan permintaan bahan baku ring sejumlah 69.993 pecs untuk sekali pemesanan dalam satu tahun perusahaan hanya melakukan 6 kali permintaan. Menggunakan metode EOQ total biaya persediaan material karet yaitu Rp. 3.453.258,990 dan material ringnya sejumlah Rp. 3.508.500,739. Titik pemesanan kembali bahan baku karet yaitu 17 Kg dan bahan baku ring yaitu 998 pecs.
The existing water dispenser has been established in Indonesia for years which has various water tap designs and height levels as well. Unfortunately, the existing water tap design and height level have suited only for certain people with a height of less than 167 cm and therefore other taller people experienced bending posture when operating it. Furthermore, the water tap valve which required both hands to operate has made another effort to fill into the water media. Several research and methodologies have been proposed regarding water tap such as how to avoid water spills using the TRIZ method and how to enhance the smart dispenser through the Internet of Time. None of it discovered how to enhance its ergonomic aspect. However, to achieve improve the ergonomic level, several experiments and measurements have been performed in this research using Rapid Upper Limb Assessment (RULA) method, to generate a recommendation for ergonomic water dispensers.
The aim of research is to design the model of rendement rate by considering the criteria of patchouli leaf and designing a good supplier selection model to maximize the company profit by considering the acceptance of the patchouli oil rendement rate. The selection of suppliers discussed is to consider the quantity of goods offered by suppliers, demand, budget and acceptance limitation of rendement rate. To overcome these limitations, it is necessary to develop a supplier selection model that takes into consideration the quantity limitation of goods offered by the supplier and the acceptance of the rendement rate by using Linear Programming (LP) method. The result of the research shows that the determination model of the rendement rate developed to determine the percentage of Rendement Rate (RR) of each raw material supplied by the supplier so that the company can know the quality of patchouli leaf based on the type of patchouli leaf. The analysis result of numerical sample calculation shows that the selected supplier is not a supplier with good patchouli leaf criteria, the analysis result of parameter changes in oil demand and budget indicate that when oil demand is increased over the benchmark data, the model output is insensitive, but when demand is lowered below the benchmark data, the model output looks sensitive.
PT. Indofood, in carrying out goods storage and retrieval activities, is carried out without a barcode and checklist system. Without this system causes high lead times, referring to the time recorded by the SAT system. This system is used by management to control the loading/unloading movement of the company. Longer times often result in inefficiency and wasted resources, and companies should review their processing times against benchmarks to identify ways to improve their lead times. The purpose of this study is to provide improvement efforts to overcome delivery errors on finished goods, reduce the lead time of the delivery process with the kanban system through the FIFO method, and compare the difference in the lead time of the delivery process before and after the procedure. The author's research process in carrying out research from planning to carrying out research at a specific time. The analysis carried out is to evaluate the results of the delivery system improvement, search for goods to be sent based on the delivery plan, and the amount of time required to make deliveries based on the lead time displayed via SAT. The results showed that the kanban checklist design using the FIFO method could reduce problems in shipping in and out of products in the warehouse by reducing recording errors and accelerating the recording process quickly, precisely and accurately. The product process flow based on the kanban checklist system makes it easier for operators in the implementation process from incoming products to outgoing products. Item data will be entered automatically into the existing computer Kanban checklist using the FIFO method. The type of barcode used is a barcode that can input data in the form of letters, numbers and symbols. The company needs this type because the data inputted in the barcode uses these three forms.
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